Opinion - (2025) Volume 16, Issue 2
Metabolic health; Insulin resistance; Metabolic syndrome; Glucose metabolism; Obesity; Cardiovascular risk; Metabolic flexibility; Inflammation; Lifestyle intervention; Chronic diseases
In recent decades, the rise of metabolic-related disorders has become a major public health concern globally. Metabolic health refers to a state where the body's metabolic systems—including glucose regulation, lipid metabolism, blood pressure, and inflammation—function optimally without pharmacologic support [1]. However, the prevalence of poor metabolic health is increasing, even among individuals with normal body weight [2]. This phenomenon has sparked interest in redefining health from the perspective of metabolic markers rather than just body mass index (BMI).
The alarming increase in metabolic syndrome—a cluster of conditions including elevated blood glucose, hypertension, dyslipidemia, and central obesity—has emphasized the need to understand and monitor metabolic health holistically [3].
Defining metabolic health
Metabolic health is generally defined based on parameters such as waist circumference, fasting glucose, triglyceride levels, HDL cholesterol, and blood pressure. A person is considered metabolically healthy if these values fall within normal ranges without the use of medication [4]. However, newer definitions incorporate markers like insulin sensitivity, inflammatory cytokines, and hepatic fat content [5].
Pathophysiology of metabolic dysfunction
Poor metabolic health arises from a complex interplay between genetic predisposition, sedentary behavior, poor nutrition, chronic stress, and sleep disorders. Central to this dysfunction is insulin resistance, which impairs glucose uptake and disrupts lipid metabolism, leading to increased fat storage, systemic inflammation, and endothelial dysfunction [6].
Role of metabolic flexibility
Metabolic flexibility refers to the body's ability to efficiently switch between energy sources (carbohydrates and fats) depending on availability and demand. Impaired flexibility is associated with obesity and type 2 diabetes [7]. Restoration of this flexibility through exercise and dietary interventions can significantly enhance metabolic outcomes.
Assessment methods
Lifestyle and environmental contributors
RESULTS
Recent cross-sectional studies indicate that only 12% of American adults meet the criteria for optimal metabolic health, even among those with normal BMI [2]. Interventional trials show that:
Additionally, interventions focusing on sleep hygiene and stress reduction have been shown to lower cortisol and improve fasting glucose [10].
The current evidence suggests that metabolic health is a more accurate predictor of disease risk than BMI alone. For instance, individuals with metabolically unhealthy normal weight (MUHNW) have a higher cardiovascular risk than metabolically healthy obese (MHO) individuals [3]. This insight has profound implications for clinical practice and health policy. Early lifestyle interventions—particularly those that combine dietary change, physical activity, and behavioral strategies—are effective in improving metabolic health. Emerging areas, such as the gut microbiome's role and personalized nutrition, offer promising avenues for targeted interventions. However, socio-economic factors, food deserts, limited healthcare access, and cultural barriers continue to hinder widespread implementation of preventive strategies. Public health efforts should focus on community-based programs and policy changes that promote healthier lifestyles.
Metabolic health is a pivotal component of long-term disease prevention and quality of life. Its assessment should go beyond BMI and include multidimensional markers. Improvements in diet, exercise, stress management, and sleep can significantly enhance metabolic function. Addressing metabolic health early and holistically offers an effective path to curbing the global epidemic of chronic diseases.
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Received: 01-Feb-2025, Manuscript No. jdm-25-37654; Editor assigned: 03-Feb-2025, Pre QC No. jdm-25-37654(PQ); Reviewed: 17-Feb-2025, QC No. jdm-25-37654; Revised: 22-Feb-2025, Manuscript No. jdm-25-37654(R); Published: 28-Feb-2025
Copyright: © 2025 Habtom DT. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.